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Solving the Tesla Semi truck conundrum: here’s what it might take
With the release of Tesla’s updated vision for the future, CEO Elon Musk included plenty of information that was both intriguing and light on details. From that, we will try to make a guess as to what Tesla’s plans are in reference to trucks and shed light on the many obstacles that the company will need to overcome before making its plans a reality.
The light details of Musk’s announcement is par for the course from Tesla and Co, which operates its marketing as much on hype and viral sharing as anything else. This is not a knock against the company, as most other firms would sacrifice virgins every Friday to see the same kind of unsolicited viral marketing that Tesla generates. One thing Elon has mastered is walking the fine line between being informative and forthcoming and being vague enough to cause rampant speculation.
In the company’s “Part Deux” plans for the future, a brief and almost passing mention of semi-trucks was made as a part of Tesla’s developments. Specifically, Must referred to “heavy-duty trucks” and called the idea a “Tesla Semi.” This can imply two things, but probably implies both. It could imply that Tesla plans to make a heavy-duty truck – which could mean a three-quarter ton pickup truck, a Class B heavy truck, or a large Class A freight-hauling truck. Or it can imply that Tesla plans to make a semi-truck only (aka “18 wheeler”). We believe it’s likely that they plan to do all of the above.
Currently, about 70 percent of the freight being moved around the United States is moved on semi-trucks in which a large tractor is attached to a separate trailer. These trucks typically operate at weights up to 80,000 pounds in vehicle, freight, and fuel. They are referred to as “Class A” trucks because the weight class requires an operator’s license of that type. Yet that is only one class of truck. And the typical over-the-road (OTR) truck we usually think of when talking about semi-trucks are just one slice of a large trucking pie.
Nearly 12,000 million tons of freight are hauled by trucks every year in the United States. A significant portion of that hauling is done by smaller trucks rather than large semi-trucks. Package carrying (van) trucks, dump trucks, refuse (garbage) trucks, and other specialized trucks are also common and actually make up a larger portion of the miles driven by heavy-duty trucking. Most of these vehicles have a gross weight of 26,000 pounds or more, by definition, so for our purposes here we will be excluding passenger-style heavy-duty pickups and the like. We are assuming that Musk is referring to freight hauling, given his statements.
With the plan to “cover the major forms of terrestrial transport” that Tesla put forth, we can assume that the company plans to design and potentially build heavy-duty trucks of all stripes. This is realistic given that major truck builders such as Paccar (Kenworth, Peterbilt), Volvo, Mack, etc. already do this. One basic design can be modified to match several needs, thus a single model Mack truck can be both an OTR freight puller and a dump truck with just a few changes to the drivetrain and chassis. Medium-duty trucks, such as package delivery (ala UPS, FedEx) box trucks can also be of a single design with multiple body options. Although the reality is a bit more complicated than this, the gist is that it is possible to design only a couple of vehicles and have them workable in most major truck markets. Knowing this, we will concentrate on the most difficult to achieve, over-the-road heavy-duty semi-trucks.
Knowing that, there are obstacles to overcome. The challenges of a Tesla pickup truck are a beginning, but with a heavy freight hauler, they become exponential. Here are some basic requirements for the biggest of these HD trucks:
- Power output similar to a large diesel engine, equalling roughly 450-550 horsepower and 800-1,200 pound-feet of torque. The amount of output depends heavily on the work to be done. A typical OTR truck, for example, falls in the lower end of this spectrum to maximize fuel efficiency while a typical off-road construction or heavy-load truck (logging and the like) will be at the higher end.
- An operating range of 600 miles per charge for OTR and about half that for more local use (construction, large trailer/freight delivery). Smaller trucks doing package deliveries could operate in the 150-mile range easily.
- The capability to haul as much or more freight than the current diesel-powered offerings do.
That last point is important. Getting a 600-mile range for a truck that can weigh up to 80,000 pounds, freight included, is pretty simple. Getting a 600-mile range for a truck and trailer weighing under 35,000 pounds is not as easy. It’s the old problem of more batteries equals more range, but also equals more weight.
There have been and are current attempts at electrifying semi-trucks, of course. Mostly in the medium-duty package delivery and trailer moving (non-transport) sectors. Solutions involving hydrogen fuel cells, battery-electrics, hydraulic hybrids, and more have been produced. Some did not do well (see Smith Transport) and some are going places (see Parker-Hannifin’s hydraulic hybrids). For the most part, battery-electric over-the-road trucks are seen as a pipe dream by most in the industry. There are good reasons for this. Not the least of which are the battery weight and range expectations of the trucks. Nevermind the likely long charging times required.
Without getting too detailed, most OTR drivers expect to put in 600 or more miles per day in a solo run (one driver) and about 1,000 or so when team driving. Most fuel stops are 15-20 minutes and most trucks have a range of 700-1,000 miles when fitted with dual tanks (one on either side). Having enough lithium-ion batteries on board to do that is daunting. Especially given the high power outputs required to move 80,000 pounds worth of rig and freight.
There are solutions for this, of course. Since Musk devoted so much of his announcement to autonomous driving, we can assume the plan is to include that with trucking. Three possible ideas are:
Relaying. A truck takes a trailer 300-400 miles, swaps it with a trailer going back where it came from, and returns. The trailer swapped continues on with on another truck for another 300-400 miles, then another, and another.. Until its final destination and delivery. This is currently done with certain types of freight and these trucks often have shorter trailers and run them as doubles (one attached to another). Automating this might be a solution. At least for some types of freight.
Battery swapping. The truck drives for a certain range of miles, stops somewhere to have its emptied battery swapped with a full one, and continues. If done in 10-15 minutes and not more than twice a day, this would be realistic under the current trucking paradigm with a driver on board. When automated, the swaps could be as often as you’d like, though each stop means delays in shipment.
Partial electrification. This would be a truck which runs on electricity but has an on-board combustion generator. This is a potential solution, but is not likely to be on Tesla’s agenda.
Another option that should be considered, though it might not be what Tesla fans will want to hear: Musk may be planning on taking a standard semi-truck and automating it. In other words, the Tesla Semi could actually be an automation system, not an actual truck. At least in the beginning. Given the huge amount of technical obstacles, some of which may not be surmountable without combustion, this is a viable guess. At least for OTR trucks.
Any of these ideas or a combination are realistic for a Tesla Semi strategy in regards to OTR trucks. There are no shortage of plans (grandiose and otherwise) for transforming the trucking industry via electrification. Seeing Teslas will at least be interesting.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
